Why Process Orchestration Enables Responsible And Sustainable AI Deployment
Techstrong.ai, Friday, April 17th, 2026
Artificial intelligence is reshaping industries at great speed, yet it comes with a growing environmental cost. Training and running large language models requires a huge amount of power and water.
In 2024, data centers accounted for around 1.5% of global power usage, roughly 415 terawatt hours, according to the International Energy Agency (IEA). By 2030, electricity use from data centers could more than double to almost 945 terawatt hours.
With AI standing to impact almost every business function, organizations face a dilemma: how do they innovate without impacting sustainability and efficiency aims? As such, organizations don't need to reject AI entirely, rather they should ask themselves how they can utilize AI in a more intelligent manner.